Cradle
About Cradle
Cradle is a revolutionary platform for biotech teams aimed at simplifying protein design using advanced machine learning techniques. By generating optimized protein sequences, Cradle enhances user workflows, significantly reducing lab time while providing insights into performance, making it essential for professionals in protein engineering.
Cradle offers a flat annual fee for its services, ensuring transparent pricing for users. There are no additional royalties, and each subscription provides full access to the platform's core features. Upgrading allows users to harness the full potential of machine learning for protein design efficiency.
Cradle features a user-friendly interface designed for easy navigation and quick task execution. Its intuitive layout enables users to effortlessly set project objectives, generate sequences, and analyze lab results, ensuring a seamless experience that empowers protein engineers in their scientific pursuits.
How Cradle works
Users begin their journey with Cradle by setting up their specific assays and objectives, which involves defining what they intend to measure. The platform then aids in generating optimized protein sequences based on target performance metrics. Once lab tests are conducted, users can import results, allowing Cradle to learn and improve the output for subsequent rounds, continuously enhancing their protein engineering process.
Key Features for Cradle
Machine Learning Optimization
Cradle's machine learning optimization feature empowers users to design protein variants with exceptional precision. By analyzing lab data and user objectives, Cradle offers predicted performance scores for each sequence, ensuring informed decision-making. This innovative approach accelerates the workflow, providing significant advantages for protein engineering.
Multi-Property Integration
Cradle's multi-property integration feature allows users to simultaneously optimize various protein properties within a single round. This unique functionality enhances efficiency, enabling users to achieve their objectives faster while minimizing experimental cycles, ultimately streamlining protein design processes for researchers and biotech teams.
Secure Data Ownership
Cradle prioritizes user privacy with its secure data ownership model, ensuring that all sequences and experimental results remain confidential. Unique to the platform, users retain complete control of their intellectual property. This commitment to data security fosters trust and allows researchers to work without reservation.
